Intelligent electronic cigarette control method and system, computer readable storage medium and computer program product

Abstract

The invention relates to the technical field of electronic cigarettes, and discloses an intelligent electronic cigarette control method and system, a computer readable storage medium and a computer program product. The method comprises the following steps: a cloud AI service platform establishes or updates a user digital portrait according to historical behavior data of using an electronic cigarette by a user; receiving and identifying a cigarette cartridge switching instruction sent by a user and detected by the intelligent electronic cigarette in real time, and determining a corresponding target cigarette cartridge; and if the user is in the nicotine withdrawal plan period and in the non-high-pressure time period of the user, correspondingly selecting a cartridge with a lower nicotine concentration, which has the same taste, from the cartridges of the intelligent electronic cigarette according to the current nicotine dependency degree of the user to secretly replace the target cartridge. According to the method, through a non-inductive replacement strategy, the nicotine intake of the user is quietly reduced under the condition of no psychological conflict, and the smoking cessation success rate of the user can be effectively improved.

Description

Technical Field

[0001] This invention relates to the field of electronic cigarette technology, and in particular to a method, system, computer-readable storage medium, and computer program product for intelligent electronic cigarette control. Background Technology

[0002] The current e-cigarette market suffers from severe product homogenization and limited functionality. Most devices still require manual cartridge replacement, necessitating users to actively select flavors and nicotine concentrations, making the process cumbersome.

[0003] In the field of health management, especially in nicotine dependence control, existing solutions have significant shortcomings. Traditional smoking cessation methods rely heavily on the user's self-discipline and willpower. Due to the significant withdrawal symptoms and strong psychological resistance experienced by people during the smoking cessation process, the success rate of quitting smoking is generally low.

[0004] Therefore, there is an urgent need in this field for an "intervention" strategy that can reduce psychological resistance and physiological withdrawal pain during the smoking cessation process, thereby effectively improving the success rate of smoking cessation. Summary of the Invention

[0005] The purpose of this invention is to provide a method, system, computer-readable storage medium, and computer program product for controlling intelligent electronic cigarettes, so as to solve or at least partially solve the technical problems mentioned in the background art.

[0006] To achieve this objective, the present invention employs the following technical formulation:

[0007] In a first aspect, the present invention provides a method for controlling intelligent electronic cigarettes based on cloud AI and seamless replacement, comprising:

[0008] The cloud-based AI service platform builds or updates user digital profiles based on users' historical behavior data regarding e-cigarette use;

[0009] It receives and identifies in real time the cartridge switching command issued by the user detected by the smart electronic cigarette, and determines the corresponding target cartridge;

[0010] If the user is in a nicotine withdrawal program, determine whether the current time is a period of high stress for the user;

[0011] If not, based on the user's current nicotine dependence, a cartridge with the same flavor but lower nicotine concentration is secretly selected from the cartridges of the smart electronic cigarette to secretly replace the target cartridge, and a work instruction is issued to the smart electronic cigarette to move the replaced cartridge to the working position.

[0012] If so, issue a work instruction to the smart electronic cigarette to move the target cartridge to the working position;

[0013] Monitor the user's suction process and record it in the historical behavior data;

[0014] The information involved in the user digital profile includes: the user's nicotine withdrawal plan, nicotine dependence, and high-stress periods.

[0015] Optionally, the real-time receiving and identification of the user-issued cartridge switching command detected by the smart electronic cigarette, and the determination of the corresponding target cartridge, specifically includes:

[0016] When the cartridge switching command is a vague intent command without specifying a cartridge, a corresponding cartridge recommendation list is generated based on the cartridge switching command and the user's digital profile; wherein, the vague intent command is a natural language command, the information involved in the user's digital profile also includes the user's taste preferences, and the cartridge recommendation list includes several candidate cartridges that match the cartridge switching command and are consistent with the user's taste preferences;

[0017] After generating the corresponding tobacco cartridge recommendation list based on the tobacco cartridge switching command and the user's digital profile, the method further includes: detecting whether the user has selected a candidate tobacco cartridge in the tobacco cartridge recommendation list; and determining the candidate tobacco cartridge selected by the user as the corresponding target tobacco cartridge.

[0018] When the cartridge switching command is a clear intention command for a specified cartridge, the specified cartridge is directly identified as the corresponding target cartridge.

[0019] Optionally, after detecting whether the user has selected a candidate tobacco cartridge from the recommended list, the method further includes:

[0020] If so, the candidate e-cigarette cartridge selected by the user is determined as the corresponding target e-cigarette cartridge;

[0021] If not, check if a user has received a replacement instruction to change the candidate cartridge;

[0022] After detecting whether a user has received a replacement instruction to change the candidate cartridge, the process also includes:

[0023] If a user is given a change instruction to replace the candidate cartridge, other cartridges in the smart electronic cigarette will be recommended to the user for selection again;

[0024] If no change instruction is received from the user to change the candidate cartridge, the system will continue to check whether the user has selected a candidate cartridge from the recommended cartridge list.

[0025] Optionally, after identifying the target smoke bomb, the process also includes:

[0026] Determine if the user is currently in a nicotine withdrawal program;

[0027] If the user is not currently in a nicotine withdrawal program, a work instruction is issued to the smart electronic cigarette to move the target cartridge to the working position.

[0028] The step of secretly replacing the target e-cigarette cartridge with a lower nicotine concentration of the same flavor from the e-cigarette cartridges according to the user's current nicotine dependence specifically includes:

[0029] To detect whether there are tobacco cartridges with the same flavor but lower nicotine concentration in smart electronic cigarettes;

[0030] If not, a work instruction is issued to the smart electronic cigarette to move the target cartridge to the working position;

[0031] If so, based on the user's current nicotine dependence, the system automatically selects the cartridge that best matches the user's current taste preference from several cartridges with the same flavor but lower nicotine concentration, and secretly replaces the target cartridge.

[0032] Optionally, monitoring the user's suction process and recording it in the historical behavior data includes:

[0033] When the user is inhaling the replaced e-liquid cartridge, monitor whether the user issues a new e-liquid cartridge switching command again within a predetermined time threshold, and whether the increase in the user's inhalation strength is greater than or equal to a predetermined increase threshold.

[0034] If the user issues a new cartridge switching command again within the predetermined time threshold, and / or the increase in the user's inhalation strength is greater than or equal to the predetermined increase threshold, it is determined that the user has a significant rejection reaction.

[0035] If the user does not issue a new cartridge switching command within the predetermined time threshold, and the increase in the user's inhalation strength is less than the predetermined increase threshold, it is determined that the user has no obvious rejection reaction.

[0036] Optionally, the cloud-based AI service platform establishes or updates user digital profiles based on users' historical e-cigarette usage data, including:

[0037] Analyze the nicotine dependence of all replacement cartridges used by the user within a recent preset time period, and update the user's nicotine dependence.

[0038] Optionally, the cloud-based AI service platform establishes or updates user digital profiles based on users' historical e-cigarette usage data, including:

[0039] Pre-built machine learning models for describing user digital profiles;

[0040] Using historical data on users' e-cigarette use as sample data, a machine learning model is trained to obtain a digital profile of the user.

[0041] The system continuously updates user digital profiles based on recorded historical data of user e-cigarette use.

[0042] Secondly, the present invention provides a system for controlling intelligent electronic cigarettes based on cloud AI and seamless replacement, including a cloud AI service platform, wherein the cloud AI service platform establishes a communication connection with the intelligent electronic cigarette;

[0043] The cloud-based AI service platform includes:

[0044] The user digital profile module is used to monitor the user's vaping process in real time and record it in historical behavior data. It is also used to create a user digital profile based on the user's historical behavior data of using e-cigarettes, and to update the created user digital profile.

[0045] The instruction recognition module is used to receive and recognize the cartridge switching instructions issued by the user and detected by the smart electronic cigarette in real time, and to determine the corresponding target cartridge.

[0046] The progressive health management module is used to determine whether the user is currently in a high-stress period if the user is in a nicotine withdrawal plan. If not, it secretly replaces the target cartridge with a cartridge of the same flavor but lower nicotine concentration from the cartridges of the smart e-cigarette according to the user's current nicotine dependence, and issues a work instruction to the smart e-cigarette to move the replaced cartridge to the working position. If yes, it issues a work instruction to the smart e-cigarette to move the target cartridge to the working position.

[0047] The information involved in the user digital profile includes: the user's nicotine withdrawal plan, nicotine dependence, and high-stress periods.

[0048] Thirdly, the present invention provides a computer-readable storage medium storing at least one instruction, which is loaded and executed by a processor to implement a method for controlling intelligent electronic cigarettes based on cloud AI and seamless replacement as described above.

[0049] Fourthly, the present invention provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements a method for intelligent electronic cigarette control based on cloud AI and seamless replacement as described above.

[0050] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0051] This invention creates a digital profile of users based on their historical e-cigarette usage data. When users are not under high stress, the target e-cigarette cartridge is secretly replaced with a lower-nicotine-concentration cartridge of the same flavor. Through this seamless replacement strategy, users' nicotine intake is subtly reduced without any psychological resistance, which can effectively improve the success rate of quitting smoking. Attached Figure Description

[0052] To more clearly illustrate the technical formulations in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 This is a flowchart illustrating a method for controlling intelligent electronic cigarettes based on cloud AI and seamless replacement, as provided in an embodiment of the present invention.

[0054] Figure 2 This is a schematic diagram of the architecture of a smart electronic cigarette control system based on cloud AI and seamless replacement, provided as an embodiment of the present invention. Detailed Implementation

[0055] To make the objectives, features, and advantages of this invention more apparent and understandable, the technical formulations of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0056] Example 1:

[0057] Please refer to Figure 1 , Figure 1 A flowchart of a method for controlling intelligent electronic cigarettes based on cloud AI and seamless replacement, provided by an embodiment of the present invention, is shown below. The method specifically includes:

[0058] Step 110: Based on the user's historical behavior data regarding e-cigarette use, establish or update the user's digital profile.

[0059] In this step, the cloud-based AI service platform acts as the implementing entity, establishing or updating user digital profiles; step 110 includes:

[0060] Step 111: A pre-built machine learning model for describing the user's digital profile;

[0061] Step 112: Use the user's historical behavior data of using e-cigarettes as sample data to train the machine learning model and obtain the user's digital profile.

[0062] Step 113: Continuously update the user digital profile in real time based on the recorded historical behavior data of users using e-cigarettes.

[0063] It is understandable that there are many publicly available machine learning models, such as collaborative filtering and deep neural networks, which are all commonly used AI models. Therefore, this embodiment will not elaborate on their principles and architecture.

[0064] In this embodiment, historical behavior data includes, but is not limited to: historical selection records (selected / discarded cartridge IDs), usage duration and frequency, inhalation strength / frequency (which can be obtained through device sensors), and switching context (such as the time of switching, GPS geographical location, and device motion status). The machine learning model trains and analyzes the above data to quantify the user's taste preference weights, nicotine dependence, and scenario-based usage patterns (such as identifying several high-stress time periods) to establish or update the user's digital profile.

[0065] For example, when defining high-stress time periods, if the model learns that users have a 95% probability of choosing high-nicotine e-cigarette cartridges during the 8-9 am breakfast time on weekdays, then this time period is identified as a high-stress time period.

[0066] In addition, in this embodiment, the user digital profile also involves the user's nicotine withdrawal plan; the user can set a long-term "health plan" or "smoking cessation goal" (e.g., "reduce nicotine dependence to 0 within 12 weeks"), upload it to the cloud AI service platform, and the cloud AI service platform will construct a gradual nicotine withdrawal plan based on the "health plan" or "smoking cessation goal" and record it in the user digital profile.

[0067] Step 120: Receive and identify the user-issued cartridge switching command detected by the smart electronic cigarette in real time, and determine the corresponding target cartridge.

[0068] Furthermore, step 120 specifically includes:

[0069] Step 121: When the cartridge switching command is a vague intent command without specifying a cartridge, generate a corresponding cartridge recommendation list based on the cartridge switching command and the user's digital profile;

[0070] Step 122: Detect whether the user has selected a candidate e-cigarette cartridge from the recommended list; if yes, proceed to step 123; if no, proceed to step 124.

[0071] Step 123: Identify the candidate e-cigarette cartridges selected by the user as the corresponding target e-cigarette cartridges;

[0072] Step 124: Check if a user has received a replacement instruction to change the candidate cartridge; if yes, proceed to step 125; if no, return to step 122.

[0073] Step 125: When the cartridge switching command is a clear intention command for a specified cartridge, directly identify the specified cartridge as the corresponding target cartridge.

[0074] The information involved in the user digital profile also includes the user's taste preferences. The recommended e-cigarette cartridge list includes several candidate e-cigarette cartridges that match the user's taste preferences and are matched with the e-cigarette cartridge switching command.

[0075] In this embodiment, fuzzy intent instructions refer to natural language instructions; explicit intent instructions can be natural language instructions or specific point-and-click operation instructions from the user on the smart electronic cigarette, etc.

[0076] For example, when a smart e-cigarette detects that a user says "I'm getting tired of it," the NLP (Neuro-Linguistic Programming) module of the cloud AI service platform parses the instruction to determine that it represents the user's intention to "get tired of the current flavor" or "seek change." Subsequently, the module calls the user's digital profile to query other flavors that the user might prefer at the current time / location (e.g., they might prefer fruit flavors in the afternoon) and generates a recommendation list containing one or more candidate e-cigarette cartridges, which is the cartridge recommendation list for this step.

[0077] Understandably, the cloud-based AI service platform can automatically perform Automatic Speech Recognition (ASR) and Natural Language Understanding (NLU) based on the voice stream uploaded by the smart e-cigarette. It can not only parse explicit intent commands (such as "switch to mint flavor" or "switch to cartridge #1"), but also understand ambiguous intents by combining the user's digital profile and the current context. Since ASR and NLU technologies are existing technologies, they will not be described in detail in this embodiment.

[0078] Step 130: Determine if the user is currently in a nicotine withdrawal plan; if yes, proceed to step 131; if no, proceed to step 140.

[0079] Users can set a long-term "health plan" or "smoking cessation goal" (e.g., "reduce nicotine dependence to 0 within 12 weeks") through smart e-cigarettes to enable a seamless replacement strategy.

[0080] Once the strategy is enabled, the cloud-based AI service platform will query the user's digital profile for nicotine withdrawal plans and the user's current nicotine dependence. It will also combine the current context (such as whether the user's recent frequency of using high-concentration e-cigarette cartridges has shown a downward trend, and whether this request is made during a non-high-stress period) and use a decision model (such as a rule-based engine or reinforcement learning model) to determine whether the current time is the best time to execute the "secret replacement".

[0081] Step 140: Issue a work instruction to the smart electronic cigarette to move the target cartridge to the working position.

[0082] If the user is not in a nicotine withdrawal program, the smart e-cigarette can simply use the command to transfer the target cartridge to the working position.

[0083] Step 131: Determine if the current time is within the user's high-stress period; if yes, proceed to step 140; if no, proceed to step 150.

[0084] If the user is currently in a nicotine withdrawal program, it is determined whether the current time is during the user's high-stress period. This is because users have a stronger craving for nicotine during high-stress periods, and it is generally not appropriate to force intervention at this time to avoid aggravating the user's resistance. Therefore, in this embodiment, the replacement time is set during the user's non-high-stress period.

[0085] Step 150: Based on the user's current nicotine dependence, secretly replace the target cartridge with a cartridge of the same flavor but lower nicotine concentration from the cartridges of the smart electronic cigarette.

[0086] Step 150 specifically includes:

[0087] Step 151: Detect whether there are tobacco cartridges with the same flavor but lower nicotine concentration in the smart electronic cigarette; if yes, proceed to step 152; if no, proceed to step 153.

[0088] Step 152: Based on the user's current nicotine dependence, automatically match the tobacco cartridge that best suits the user's current taste preference from several tobacco cartridges with the same flavor but lower nicotine concentration, and secretly replace the target tobacco cartridge.

[0089] Step 153: Issue a work instruction to the smart electronic cigarette to move the target cartridge to the working position.

[0090] In this embodiment, the cloud AI service platform will only search the cartridge library for a cartridge with a very high similarity in flavor (based on the cosine similarity calculation of the flavor tag vector preset by the cartridge) but a lower nicotine concentration (such as "Tobacco Flavor #2" with 3mg / mL) when the time is right (all the relevant conditions of the above steps are met) as a replacement target.

[0091] Step 160: Send a work instruction to the smart electronic cigarette to transfer the replaced cartridge to the working position.

[0092] After the cloud-based AI service platform identifies the replacement cartridge, it sends a command to the smart electronic cigarette device to move the replacement cartridge to the working position. Upon receiving the command, the smart electronic cigarette's MCU controls the motor to rotate and align the replacement cartridge with the working position.

[0093] Because users inhale a familiar flavor, but the actual nicotine intake is reduced, the replacement operation will not be actively notified to the user, thus achieving a "seamless" replacement strategy.

[0094] Step 170: Monitor the user's suction process and record it in historical behavior data.

[0095] In this embodiment, the cloud-based AI service platform continuously monitors the user's reaction to the replaced e-liquid cartridge (e.g., whether they switch back quickly, whether the inhalation strength increases significantly, etc.). If the user shows no obvious rejection, the replacement strategy continues in the next request for that flavor until it is finally replaced with an e-liquid cartridge of the same flavor with zero nicotine. If there is a rejection reaction, the algorithm may revert to its strategy and wait for the next suitable opportunity.

[0096] Specifically, step 170 includes:

[0097] Step 171: When the user is inhaling the replaced tobacco cartridge, monitor whether the user issues a new tobacco cartridge switching command again within a predetermined time threshold, and whether the increase in the user's inhalation strength is greater than or equal to a predetermined increase threshold.

[0098] Step 172: If the user issues a new cartridge switching command again within the predetermined time threshold, and / or the increase in the user's inhalation strength is greater than or equal to the predetermined increase threshold, it is determined that the user has a significant rejection reaction.

[0099] Step 173: If the user does not issue a new cartridge switching command within the predetermined time threshold, and the increase in the user's inhalation strength is less than the predetermined increase threshold, it is determined that the user has no obvious rejection reaction.

[0100] Furthermore, step 170 also includes:

[0101] Step 174: Analyze the nicotine dependence of all replacement cartridges used by the user within a recent preset time period that were determined to have no obvious rejection reaction when inhaling, and update the user's nicotine dependence.

[0102] In summary, this embodiment provides a method for controlling intelligent electronic cigarettes based on cloud AI and seamless replacement. It can replace traditional manual operation through natural voice interaction. Users only need to say their general intention (such as "I need something to refresh myself"), and the system can automatically complete the complex selection and switching process, providing convenience and technological experience for the use of electronic cigarettes.

[0103] This approach resolves the conflict between "user experience" and "intervention effectiveness" in health management. Through a seamless replacement strategy, users' nicotine intake is subtly reduced without psychological resistance or physical withdrawal pain. This reduces user psychological resistance to some extent. By implementing a gradual nicotine withdrawal plan based on the user's current state and at appropriate times, the "intervention" strategy can greatly reduce physical withdrawal pain, thereby effectively improving the user's success rate in quitting smoking.

[0104] Example 2:

[0105] Please refer to Figure 2 , Figure 2 This is a schematic diagram of the architecture of a smart electronic cigarette control system based on cloud AI and seamless replacement, provided as an embodiment of the present invention.

[0106] The system includes a cloud-based AI service platform 20, which establishes a communication connection with the smart electronic cigarette 10;

[0107] The cloud-based AI service platform 20 includes:

[0108] The user digital profile module is used to monitor the user's vaping process in real time and record it in historical behavior data. It is also used to create a user digital profile based on the user's historical behavior data of using e-cigarettes, and to update the created user digital profile.

[0109] The instruction recognition module is used to receive and recognize the cartridge switching instructions issued by the user and detected by the smart electronic cigarette in real time, and to determine the corresponding target cartridge.

[0110] The progressive health management module is used to determine whether the user is currently in a high-stress period if the user is in a nicotine withdrawal plan. If not, it secretly replaces the target cartridge with a cartridge of the same flavor but lower nicotine concentration from the e-cigarette cartridges according to the user's current nicotine dependence, and sends a work instruction to the e-cigarette to move the replaced cartridge to the working position. If yes, it sends a work instruction to the e-cigarette to move the target cartridge to the working position.

[0111] The information included in the user digital profile includes: the user's nicotine withdrawal plan, nicotine dependence, and high-stress periods.

[0112] Specifically, the smart electronic cigarette in this embodiment includes:

[0113] Multi-smoke bomb launcher system: includes a rotatable support tray driven by a micro stepper / servo motor; the support tray has multiple (e.g., 4-6) mounting positions, each with independent electrical contacts (for power supply and data communication) and air circuit interface.

[0114] Several individual cartridges: Each cartridge contains e-liquid with different flavors and / or different nicotine concentrations. Each cartridge has an identification module (such as a TER chip or RFID tag) embedded in its bottom to store its unique ID, flavor information, nicotine concentration, production batch, and other data.

[0115] Main Controller (MCU): Responsible for overall logic control of the device, communication with the cartridge ID chip, driving the motor, and communication with the cloud.

[0116] Voice capture module: microphone, used to capture user voice commands and upload them to the cloud.

[0117] Position sensors, such as Hall effect sensors, are used to detect the real-time rotation angle of the tray and work with the MCU to achieve precise positioning of the e-cigarette cartridges.

[0118] Fixed atomization and mouthpiece system: The lower part of the mouthpiece is a fixed universal atomizer. When the target cartridge rotates to the working position, the cartridge outlet and the atomizer are sealed and connected, the electrodes are engaged, and it is ready.

[0119] For example, the relevant control process of the smart electronic cigarette 10 is as follows:

[0120] The user gave a voice command: "Something to perk me up";

[0121] The microphone of the smart electronic cigarette 10 collects voice data and uploads it to the cloud AI service platform 20;

[0122] The cloud-based AI service platform analyzes user intent and combines it with user profiles (e.g., users typically choose "Iced Mint" or "Coffee Flavor" when they need a pick-me-up in the afternoon) to recommend candidate e-cigarette cartridges for users.

[0123] Then the gradual health management module intervenes to determine that the user is currently in the nicotine reduction stage (nicotine withdrawal plan period, high stress period, etc.) and that the "Iced Mint" flavor has a low concentration version.

[0124] When it is determined that the current time is the right time to replace, the user's choice is "secretly replaced" with the "Ice Menthol" cartridge with a lower nicotine concentration, and the instruction is sent to the smart electronic cigarette 10;

[0125] The MCU of the smart electronic cigarette 10 receives instructions and drives the motor to rotate, precisely positioning the low-nicotine "ice mint" cartridge to the working position;

[0126] Users inhale, obtaining an experience that meets their expectations of "energization" and has a familiar taste, while their nicotine intake is subtly reduced.

[0127] Since the method and related principles of intelligent electronic cigarette control have been described in detail in Embodiment 1, they will not be repeated in this embodiment.

[0128] Based on the same concept, embodiments of the present invention also provide a computer-readable storage medium storing at least one instruction, which is loaded and executed by a processor to implement the intelligent electronic cigarette control method based on cloud AI and seamless replacement provided in Embodiment 1.

[0129] Any combination of one or more computer-readable media may be used. A computer-readable medium can be a computer-readable signal medium or a computer-readable storage medium. A computer-readable storage medium can be, for example—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this document, a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus, or device.

[0130] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, capable of sending, propagating, or transmitting programs for use by or in connection with an instruction execution system, apparatus, or device.

[0131] Program code contained on a computer-readable medium may be transmitted using any suitable medium, including—but not limited to—wireless, wire, optical fiber, RF, etc., or any suitable combination thereof.

[0132] Computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as "C" or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0133] Based on the same concept, embodiments of the present invention also provide a computer program product, including a computer program / instruction, which, when executed by a processor, implements the intelligent electronic cigarette control method based on cloud AI and seamless replacement provided in Embodiment 1.

[0134] Computer program products may be loaded onto computer devices, and the components of computer devices may include, but are not limited to: one or more processors or processing units, system memory, and buses connecting different system components (including system memory and processing units).

[0135] Computer devices typically include a variety of computer system-readable media. These media can be any available media that can be accessed by a computer device, including volatile and non-volatile media, and removable and non-removable media.

[0136] System memory may include computer system readable media in the form of volatile memory, such as random access memory (RAM) and / or cache memory. The computer device may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system may be used to read and write non-removable, non-volatile magnetic media. The computer program product has a set (e.g., at least one) of program modules configured to perform the functions of the various embodiments of the present invention.

[0137] A program / utility having a set (at least one) of program modules can be stored, for example, in memory. Such program modules include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include an implementation of a network environment. The program modules typically perform the functions and / or methods described in the embodiments of this invention.

[0138] Computer devices can also communicate with one or more external devices (e.g., keyboards, pointing devices, monitors, etc.), one or more devices that enable user interaction with the computer device, and / or any device that enables the computer device to communicate with one or more other computing devices (e.g., network interface cards, modems, etc.). This communication can be achieved through input / output (I / O) interfaces. Furthermore, computer devices can communicate with one or more networks (e.g., local area networks (LANs), wide area networks (WANs), and / or public networks, such as the Internet) via network adapters. As shown in the figure, the network adapter communicates with other modules of the computer device via a bus. It should be understood that other hardware and / or software modules can be used in conjunction with the computer device, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0139] Those skilled in the art will understand that all or part of the steps of the above embodiments can be implemented by hardware, or by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as a read-only memory, a disk, or an optical disk. Based on this understanding, the technical formula of the present invention, or the part that contributes to the prior art, or all or part of the technical formula, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0140] The above-described embodiments are only used to illustrate the technical formulation of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical formulations described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical formulations to deviate from the spirit and scope of the technical formulations of the embodiments of the present invention.

Claims

1. A method for controlling intelligent electronic cigarettes based on cloud-based AI and seamless replacement, characterized in that, include: The cloud-based AI service platform builds or updates user digital profiles based on users' historical behavior data regarding e-cigarette use; It receives and identifies in real time the cartridge switching command issued by the user detected by the smart electronic cigarette, and determines the corresponding target cartridge; If the user is in a nicotine withdrawal program, determine whether the current time is a period of high stress for the user; If not, based on the user's current nicotine dependence, a cartridge with the same flavor but lower nicotine concentration is secretly selected from the cartridges of the smart electronic cigarette to secretly replace the target cartridge, and a work instruction is issued to the smart electronic cigarette to move the replaced cartridge to the working position. If so, issue a work instruction to the smart electronic cigarette to move the target cartridge to the working position; Monitor the user's suction process and record it in the historical behavior data; The information involved in the user digital profile includes: the user's nicotine withdrawal plan, nicotine dependence, and high-stress periods.

2. The method for controlling intelligent electronic cigarettes based on cloud AI and seamless replacement according to claim 1, characterized in that, The real-time reception and identification of the user-issued cartridge switching command detected by the smart electronic cigarette, and the determination of the corresponding target cartridge, specifically includes: When the cartridge switching command is a vague intent command without specifying a cartridge, a corresponding cartridge recommendation list is generated based on the cartridge switching command and the user's digital profile; wherein, the vague intent command is a natural language command, the information involved in the user's digital profile also includes the user's taste preferences, and the cartridge recommendation list includes several candidate cartridges that match the cartridge switching command and are consistent with the user's taste preferences; After generating the corresponding tobacco cartridge recommendation list based on the tobacco cartridge switching command and the user's digital profile, the method further includes: detecting whether the user has selected a candidate tobacco cartridge in the tobacco cartridge recommendation list; and determining the candidate tobacco cartridge selected by the user as the corresponding target tobacco cartridge. When the cartridge switching command is a clear intention command for a specified cartridge, the specified cartridge is directly identified as the corresponding target cartridge.

3. The method for controlling intelligent electronic cigarettes based on cloud AI and seamless replacement according to claim 2, characterized in that, After detecting whether the user has selected a candidate e-cigarette cartridge from the recommended list, the process further includes: If so, the candidate e-cigarette cartridge selected by the user is determined as the corresponding target e-cigarette cartridge; If not, check if a user has received a replacement instruction to change the candidate cartridge; After detecting whether a user has received a replacement instruction to change the candidate cartridge, the process also includes: If a user is given a change instruction to replace the candidate cartridge, other cartridges in the smart electronic cigarette will be recommended to the user for selection again; If no change instruction is received from the user to change the candidate cartridge, the system will continue to check whether the user has selected a candidate cartridge from the recommended cartridge list.

4. The method for controlling intelligent electronic cigarettes based on cloud AI and seamless replacement according to claim 3, characterized in that, After identifying the target smoke bomb, the process also includes: Determine if the user is currently in a nicotine withdrawal program; If the user is not currently in a nicotine withdrawal program, a work instruction is issued to the smart electronic cigarette to move the target cartridge to the working position. The step of secretly replacing the target e-cigarette cartridge with a lower nicotine concentration of the same flavor from the e-cigarette cartridges according to the user's current nicotine dependence specifically includes: To detect whether there are tobacco cartridges with the same flavor but lower nicotine concentration in smart electronic cigarettes; If not, a work instruction is issued to the smart electronic cigarette to move the target cartridge to the working position; If so, based on the user's current nicotine dependence, the system automatically selects the cartridge that best matches the user's current taste preference from several cartridges with the same flavor but lower nicotine concentration, and secretly replaces the target cartridge.

5. The method for controlling intelligent electronic cigarettes based on cloud AI and seamless replacement according to claim 4, characterized in that, The monitoring of the user's suction process and recording it in the historical behavior data includes: When the user is inhaling the replaced e-liquid cartridge, monitor whether the user issues a new e-liquid cartridge switching command again within a predetermined time threshold, and whether the increase in the user's inhalation strength is greater than or equal to a predetermined increase threshold. If the user issues a new cartridge switching command again within the predetermined time threshold, and / or the increase in the user's inhalation strength is greater than or equal to the predetermined increase threshold, it is determined that the user has a significant rejection reaction. If the user does not issue a new cartridge switching command within the predetermined time threshold, and the increase in the user's inhalation strength is less than the predetermined increase threshold, it is determined that the user has no obvious rejection reaction.

6. The method for controlling intelligent electronic cigarettes based on cloud AI and seamless replacement according to claim 5, characterized in that, The cloud-based AI service platform establishes or updates user digital profiles based on users' historical e-cigarette usage data, including: Analyze the nicotine dependence of all replacement cartridges used by the user within a recent preset time period, and update the user's nicotine dependence.

7. The method for controlling intelligent electronic cigarettes based on cloud AI and seamless replacement according to claim 1, characterized in that, The cloud-based AI service platform establishes or updates user digital profiles based on users' historical e-cigarette usage data, including: Pre-built machine learning models for describing user digital profiles; Using historical data on users' e-cigarette use as sample data, a machine learning model is trained to obtain a digital profile of the user. The system continuously updates user digital profiles based on recorded historical data of user e-cigarette use.

8. A system for controlling intelligent electronic cigarettes based on cloud-based AI and seamless replacement, characterized in that, This includes a cloud-based AI service platform, which establishes a communication connection with the smart electronic cigarette. The cloud-based AI service platform includes: The user digital profile module is used to monitor the user's vaping process in real time and record it in historical behavior data. It is also used to create a user digital profile based on the user's historical behavior data of using e-cigarettes, and to update the created user digital profile. The instruction recognition module is used to receive and recognize the cartridge switching instructions issued by the user and detected by the smart electronic cigarette in real time, and to determine the corresponding target cartridge. The progressive health management module is used to determine whether the user is currently in a high-stress period if the user is in a nicotine withdrawal plan. If not, it secretly replaces the target cartridge with a cartridge of the same flavor but lower nicotine concentration from the cartridges of the smart e-cigarette according to the user's current nicotine dependence, and issues a work instruction to the smart e-cigarette to move the replaced cartridge to the working position. If yes, it issues a work instruction to the smart e-cigarette to move the target cartridge to the working position. The information involved in the user digital profile includes: the user's nicotine withdrawal plan, nicotine dependence, and high-stress periods.

9. A computer-readable storage medium storing at least one instruction, characterized in that, The instructions are loaded and executed by the processor to implement a method for intelligent electronic cigarette control based on cloud AI and seamless replacement as described in any one of claims 1-7.

10. A computer program product, comprising a computer program / instructions, characterized in that, When the computer program / instruction is executed by the processor, it implements the method for intelligent electronic cigarette control based on cloud AI and seamless replacement as described in any one of claims 1-7.

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